code: def v1_study_trials(request, study_name):
      # Create the trial
      if request.method == "POST":
          data = json.loads(request.body)
          name = data["name"]
  
          trial = Trial.create(study_name, name)
          return JsonResponse({"data": trial.to_json()})
  
      # List the studies
      elif request.method == "GET":
          trials = Trial.objects.filter(study_name=study_name)
          response_data = [trial.to_json() for trial in trials]
  
          return JsonResponse({"data": response_data})
      else:
          return JsonResponse({"error": "Unsupported http method"})
  
imports: from __future__ import unicode_literals
  import json
  from django.http import JsonResponse
  from django.views.decorators.csrf import csrf_exempt
  from suggestion.models import Study
  from suggestion.models import Trial
  from suggestion.models import TrialMetric
  from suggestion.algorithm.random_search import RandomSearchAlgorithm
  from suggestion.algorithm.grid_search import GridSearchAlgorithm
  from suggestion.algorithm.bayesian_optimization import BayesianOptimization
  from suggestion.algorithm.tpe import TpeAlgorithm
  from suggestion.algorithm.simulate_anneal import SimulateAnnealAlgorithm
  from suggestion.algorithm.hyperopt_random_search import HyperoptRandomSearchAlgorithm
  from suggestion.algorithm.quasi_random_search import QuasiRandomSearchAlgorithm
  from suggestion.algorithm.chocolate_random_search import ChocolateRandomSearchAlgorithm
  from suggestion.algorithm.chocolate_grid_search import ChocolateGridSearchAlgorithm
  from suggestion.algorithm.chocolate_bayes import ChocolateBayesAlgorithm
  from suggestion.algorithm.cmaes import CmaesAlgorithm
  from suggestion.algorithm.mocmaes import MocmaesAlgorithm
  from suggestion.algorithm.skopt_bayesian_optimization import SkoptBayesianOptimization
label_desc: Use image node_id 6 for calling a global function with example usage: v1_study_trials(request, study_name) and returns: JsonResponse, JsonResponse, JsonResponse